Create app.py

app.py

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+import gradio as gr
+import requests
+import os
+
+# Hugging Face API URL and token for the model
+API_URL = "https://api-inference.huggingface.co/models/ContactDoctor/Bio-Medical-MultiModal-Llama-3-8B-V1"
+HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY")
+
+# Define a function to send user input to the model
+def get_bot_response(user_input):
+    headers = {"Authorization": f"Bearer {HUGGINGFACE_API_KEY}"}
+    response = requests.post(API_URL, headers=headers, json={"inputs": user_input})
+    if response.status_code == 200:
+        result = response.json()
+        bot_response = result[0]["generated_text"]
+    else:
+        bot_response = "Sorry, the model is currently unavailable."
+    return bot_response
+
+# Set up Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Medical Consultation Chatbot")
+    user_input = gr.Textbox(label="Enter your question:")
+    output = gr.Textbox(label="Bot Response")
+
+    # On submit, call the get_bot_response function
+    user_input.submit(get_bot_response, user_input, output)
+
+demo.launch()