Update README.md

README.md

@@ -9,197 +9,26 @@ metrics:
 - character
 library_name: adapter-transformers
 ---
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
-
-# Model Details
-
-## Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-## Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-GIT_LFS_SKIP_SMUDGE=1
 git lfs install
-git clone https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain
-
-# Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-## Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-[More Information Needed]
-
-## Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-## Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-# Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-## Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-# Training Details
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-## Training Data
-
-<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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-[More Information Needed]
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-## Training Procedure [optional]
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-### Preprocessing
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-[More Information Needed]
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-### Speeds, Sizes, Times
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-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-[More Information Needed]
-
-# Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
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-## Testing Data, Factors & Metrics
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-### Testing Data
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-<!-- This should link to a Data Card if possible. -->
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-[More Information Needed]
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-### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-[More Information Needed]
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-### Metrics
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-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-[More Information Needed]
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-## Results
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-[More Information Needed]
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-### Summary
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-
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-# Model Examination [optional]
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-<!-- Relevant interpretability work for the model goes here -->
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-[More Information Needed]
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-# Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-# Technical Specifications [optional]
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-## Model Architecture and Objective
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-[More Information Needed]
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-## Compute Infrastructure
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-[More Information Needed]
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-### Hardware
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-[More Information Needed]
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-### Software
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-[More Information Needed]
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-# Citation [optional]
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-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-**BibTeX:**
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-[More Information Needed]
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-**APA:**
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-[More Information Needed]
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-# Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-[More Information Needed]
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-# More Information [optional]
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-[More Information Needed]
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-# Model Card Authors [optional]
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-[More Information Needed]
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-# Model Card Contact
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-[More Information Needed]
-
-
+git clone https://huggingface.co/spaces/MirageML/dreambooth
+
+
+			import os
+			import requests
+			  
+			headers={"Authorization": f"Bearer {os.environ['EXHUMAN_API_KEY']}"}
+			  
+			body = {
+			  'name': 'Elon Musk',
+			  'context': [
+			    {'turn': 'bot', 'message': 'Good morning!'},
+			    {'turn': 'user', 'message': 'hi how are you?'}
+			  ]
+			
+			}
+			api_endpoint = "https://api.exh.ai/chatbot/v1/get_response"
+			  
+			res = requests.post(api_endpoint, json=body, headers=headers)
+			response = res.json()["response"]
+			print(f"chatbot reply = {response}")
+