Update app.py

app.py

@@ -1,17 +1,19 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-import random
+#from huggingface_hub import InferenceClient
+#import random
+import tensorflow as tf
+from tensorflow import keras
 import spaces
 
 models = [
-    "https://huggingface.co/tatihden/gemma_mental_health_7b_it_en",
-    "https://huggingface.co/tatihden/gemma_mental_health_2b_en",
-    "https://huggingface.co/tatihden/gemma_mental_health_2b_it_en"
+    "hf://tatihden/gemma_mental_health_7b_it_en",
+    "hf://tatihden/gemma_mental_health_2b_it_en",
+    "hf://tatihden/gemma_mental_health_2b_en"
 ]
 
 clients = []
 for model in models:
-    clients.append(InferenceClient(model))
+    clients.append(keras.models.load_model(model))
 
 @spaces.GPU
 def format_prompt(message, history):
@@ -25,7 +27,7 @@ def format_prompt(message, history):
 
 
 def chat_inf(system_prompt, prompt, history, client_choice, seed, temp, tokens, top_p, rep_p):
-    client = clients[int(client_choice) - 1]
+    #client = clients[int(client_choice) - 1]
     if not history:
         history = []
         hist_len = 0
@@ -42,7 +44,7 @@ def chat_inf(system_prompt, prompt, history, client_choice, seed, temp, tokens,
         seed=seed,
     )
     formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
-    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True,
+    stream = model.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True,
                                     return_full_text=False)
     output = ""
 
@@ -67,27 +69,13 @@ def check_rand(inp, val):
         return gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, value=int(val))
 
 
-with gr.Blocks(css=".gradio-container {background-color: rgb(74 222 128)}",theme=gr.themes.Soft()) as app:
+with gr.Blocks(css=".gradio-container {background-color: rgb(187 247 208)}",theme=gr.themes.Soft()) as app:
     gr.HTML(
-        """<center><h1 style='font-size:xx-large;'>Google Gemma Models</h1></center>""")
+        """<center><h1 style='font-size:xx-large;'>CalmChat:A mental health conversational agent</h1></center>""")
     with gr.Group():
         with gr.Row():
             client_choice = gr.Dropdown(label="Models", type='index', choices=[c for c in models], value=models[0],
                                         interactive=True)
-    chat_b = gr.Chatbot(height=500)
-    with gr.Group():
-        with gr.Row():
-            with gr.Column(scale=1):
-                with gr.Group():
-                    rand = gr.Checkbox(label="Random Seed", value=True)
-                    seed = gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, step=1, value=rand_val)
-                    tokens = gr.Slider(label="Max new tokens", value=6400, minimum=0, maximum=8000, step=64,
-                                       interactive=True, visible=True, info="The maximum number of tokens")
-            with gr.Column(scale=1):
-                with gr.Group():
-                    temp = gr.Slider(label="Temperature", step=0.01, minimum=0.01, maximum=1.0, value=0.9)
-                    top_p = gr.Slider(label="Top-P", step=0.01, minimum=0.01, maximum=1.0, value=0.9)
-                    rep_p = gr.Slider(label="Repetition Penalty", step=0.1, minimum=0.1, maximum=2.0, value=1.0)
 
     with gr.Group():
         with gr.Row():
@@ -99,6 +87,25 @@ with gr.Blocks(css=".gradio-container {background-color: rgb(74 222 128)}",theme
                     stop_btn = gr.Button("Stop")
                     clear_btn = gr.Button("Clear")
 
+            
+            with gr.Column(scale=1):
+                with gr.Group():
+                    temp = gr.Slider(label="Temperature", step=0.01, minimum=0.01, maximum=1.0, value=0.9)
+                    top_p = gr.Slider(label="Top-P", step=0.01, minimum=0.01, maximum=1.0, value=0.9)
+                    rep_p = gr.Slider(label="Repetition Penalty", step=0.1, minimum=0.1, maximum=2.0, value=1.0)
+
+                    
+    chat_b = gr.Chatbot(height=500)
+    with gr.Group():
+        with gr.Row():
+            with gr.Column(scale=1):
+                with gr.Group():
+                    rand = gr.Checkbox(label="Random Seed", value=True)
+                    seed = gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, step=1, value=rand_val)
+                    tokens = gr.Slider(label="Max new tokens", value=6400, minimum=0, maximum=8000, step=64,
+                                       interactive=True, visible=True, info="The maximum number of tokens")
+
+                    
     chat_sub = inp.submit(check_rand, [rand, seed], seed).then(chat_inf,
                                                                [sys_inp, inp, chat_b, client_choice, seed, temp, tokens,
                                                                 top_p, rep_p], chat_b)