Mubbashir Ahmed
commited on
Commit
·
725f763
1
Parent(s):
016c388
added mistral model
Browse files
app.py
CHANGED
@@ -2,17 +2,18 @@ import os
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import gradio as gr
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from huggingface_hub import InferenceClient
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#
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llama_client = InferenceClient(provider="sambanova", api_key=os.environ["HF_TOKEN"])
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minimax_client = InferenceClient(provider="novita", api_key=os.environ["HF_TOKEN"])
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def chat_with_model(model_choice, prompt, image_url):
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if not prompt:
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return "Please enter a text prompt."
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try:
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if model_choice == "LLaMA 4 (SambaNova)":
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# Prepare message with optional image
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content = [{"type": "text", "text": prompt}]
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if image_url:
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content.append({
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@@ -27,6 +28,7 @@ def chat_with_model(model_choice, prompt, image_url):
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)
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return completion.choices[0].message.content
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elif model_choice == "MiniMax M1 (Novita)":
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messages = [{"role": "user", "content": prompt}]
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completion = minimax_client.chat.completions.create(
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@@ -35,6 +37,15 @@ def chat_with_model(model_choice, prompt, image_url):
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)
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return completion.choices[0].message.content
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else:
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return "Unsupported model selected."
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@@ -43,17 +54,21 @@ def chat_with_model(model_choice, prompt, image_url):
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# Gradio UI
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with gr.Blocks() as demo:
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gr.Markdown("## 🤖
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gr.Markdown("
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model_dropdown = gr.Dropdown(
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choices=[
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value="LLaMA 4 (SambaNova)",
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label="Select Model"
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)
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prompt_input = gr.Textbox(label="Text Prompt", placeholder="Ask something...", lines=2)
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image_url_input = gr.Textbox(label="Optional Image URL (for LLaMA only)", placeholder="https://example.com/image.jpg")
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submit_btn = gr.Button("Generate Response")
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output_box = gr.Textbox(label="Response", lines=8)
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import gradio as gr
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from huggingface_hub import InferenceClient
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# Setup clients for each provider
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llama_client = InferenceClient(provider="sambanova", api_key=os.environ["HF_TOKEN"])
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minimax_client = InferenceClient(provider="novita", api_key=os.environ["HF_TOKEN"])
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mistral_client = InferenceClient(provider="together", api_key=os.environ["HF_TOKEN"])
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def chat_with_model(model_choice, prompt, image_url):
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if not prompt:
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return "Please enter a text prompt."
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try:
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# LLaMA 4 supports optional image input
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if model_choice == "LLaMA 4 (SambaNova)":
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content = [{"type": "text", "text": prompt}]
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if image_url:
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content.append({
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)
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return completion.choices[0].message.content
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# MiniMax: Text only
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elif model_choice == "MiniMax M1 (Novita)":
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messages = [{"role": "user", "content": prompt}]
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completion = minimax_client.chat.completions.create(
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)
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return completion.choices[0].message.content
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# Mistral: Text only
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elif model_choice == "Mistral Mixtral-8x7B (Together)":
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messages = [{"role": "user", "content": prompt}]
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completion = mistral_client.chat.completions.create(
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model="mistralai/Mixtral-8x7B-Instruct-v0.1",
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messages=messages
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)
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return completion.choices[0].message.content
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else:
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return "Unsupported model selected."
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# Gradio UI
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with gr.Blocks() as demo:
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gr.Markdown("## 🤖 Unified Chatbot Interface")
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gr.Markdown("Supports LLaMA 4 (with optional image), MiniMax, and Mistral.")
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model_dropdown = gr.Dropdown(
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choices=[
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"LLaMA 4 (SambaNova)",
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"MiniMax M1 (Novita)",
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"Mistral Mixtral-8x7B (Together)"
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],
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value="LLaMA 4 (SambaNova)",
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label="Select Model"
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)
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prompt_input = gr.Textbox(label="Text Prompt", placeholder="Ask something...", lines=2)
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image_url_input = gr.Textbox(label="Optional Image URL (for LLaMA only)", placeholder="https://example.com/image.jpg")
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submit_btn = gr.Button("Generate Response")
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output_box = gr.Textbox(label="Response", lines=8)
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