Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
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@@ -28,6 +28,54 @@ def encode_image(image_path):
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print(f"Error encoding image: {e}")
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raise e
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def bot_streaming(message, history, together_api_key, max_new_tokens=250, temperature=0.7):
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# Initialize history if it's None
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if history is None:
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@@ -76,7 +124,7 @@ def bot_streaming(message, history, together_api_key, max_new_tokens=250, temper
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/png;base64,{
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},
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},
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],
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@@ -203,7 +251,7 @@ with gr.Blocks() as demo:
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clear = gr.Button("Clear")
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msg.submit(
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-
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inputs=[msg, chatbot, together_api_key, max_new_tokens, temperature],
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outputs=chatbot
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)
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print(f"Error encoding image: {e}")
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raise e
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def old_bot_streaming(message, history, max_new_tokens=250, api_key=None, max_history=5):
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if client is None:
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initialize_client(api_key)
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txt = message["text"]
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messages = []
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images = []
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for i, msg in enumerate(history[-max_history:]):
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if isinstance(msg[0], tuple):
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messages.append({"role": "user", "content": [{"type": "text", "text": history[i+1][0]}, {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{encode_image(msg[0][0])}"}}]})
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messages.append({"role": "assistant", "content": [{"type": "text", "text": history[i+1][1]}]})
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elif isinstance(history[i-1], tuple) and isinstance(msg[0], str):
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pass
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elif isinstance(history[i-1][0], str) and isinstance(msg[0], str):
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messages.append({"role": "user", "content": [{"type": "text", "text": msg[0]}]})
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messages.append({"role": "assistant", "content": [{"type": "text", "text": msg[1]}]})
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if len(message["files"]) == 1:
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if isinstance(message["files"][0], str): # examples
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image_path = message["files"][0]
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else: # regular input
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image_path = message["files"][0]["path"]
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messages.append({"role": "user", "content": [{"type": "text", "text": txt}, {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{encode_image(image_path)}"}}]})
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else:
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messages.append({"role": "user", "content": [{"type": "text", "text": txt}]})
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try:
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stream = client.chat.completions.create(
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model="meta-llama/Llama-Vision-Free",
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messages=messages,
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max_tokens=max_new_tokens,
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stream=True,
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)
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buffer = ""
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for chunk in stream:
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if chunk.choices[0].delta.content is not None:
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buffer += chunk.choices[0].delta.content
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time.sleep(0.01)
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yield buffer
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except together.error.InvalidRequestError as e:
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if "Request Entity Too Large" in str(e):
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yield "The image is too large. Please try with a smaller image or compress the existing one."
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else:
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yield f"An error occurred: {str(e)}"
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def bot_streaming(message, history, together_api_key, max_new_tokens=250, temperature=0.7):
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# Initialize history if it's None
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if history is None:
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/png;base64,{encode_image(image_path)}",
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},
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},
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],
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clear = gr.Button("Clear")
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msg.submit(
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old_bot_streaming,
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inputs=[msg, chatbot, together_api_key, max_new_tokens, temperature],
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outputs=chatbot
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)
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