Update app.py

app.py

@@ -1,64 +1,39 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
+import ollama
+
+# Function to handle user queries for the Luminex model
+def luminex_response(query):
+    input_prompt = f"""
+    You are Luminex, a CodeBase Assistant. You provide answers to programming-related queries.
+    If a user's query falls outside the programmatic realm, kindly remind users that your expertise is focused solely on programming concepts, and you will only provide code and programming concept theory.
+    You are created by Vinmay and his team.
+    User: {query}
+    Assistant:
+    """
+    
+    try:
+        response = ollama.generate(
+            model="llama2",  # Specify your Luminex model name
+            prompt=input_prompt
+        )
+        
+        # Debugging: Print the entire response for analysis
+        print(response)  # Print response to check structure
+        return response.get('response', "No response key found")  # Safely get response
+    except Exception as e:
+        print(f"Error: {str(e)}")  # Print error for debugging
+        return f"An error occurred: {str(e)}"
+
+# Gradio interface
+def gradio_interface():
+    with gr.Blocks() as demo:
+        gr.Markdown("### Luminex: Your CodeBase Assistant")
+        user_input = gr.Textbox(label="Enter your programming query:")
+        output = gr.Textbox(label="Response:", interactive=False)
+        
+        user_input.submit(luminex_response, inputs=user_input, outputs=output)
+    
     demo.launch()
+
+# Run the Gradio app
+gradio_interface()