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Update app.py
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app.py
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@@ -22,7 +22,7 @@ def multimodal_prompt(user_input, system_prompt="You are an expert medical analy
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A string containing the generated text.
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"""
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# Combine user input and system prompt
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formatted_input = f"
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# Encode the input text
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encodeds = tokenizer(formatted_input, return_tensors="pt", add_special_tokens=False)
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@@ -87,7 +87,7 @@ class ChatBot:
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def predict(self, user_input, system_prompt="You are an expert medical analyst:"):
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# Combine the user's input with the system prompt
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formatted_input = f"
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# Encode the formatted input using the tokenizer
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user_input_ids = tokenizer.encode(formatted_input, return_tensors="pt")
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@@ -102,9 +102,9 @@ class ChatBot:
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bot = ChatBot()
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title = "
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description = "
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examples = [["
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iface = gr.Interface(
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fn=bot.predict,
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A string containing the generated text.
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"""
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# Combine user input and system prompt
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formatted_input = f"Question: {system_prompt} {user_input} \n Mini :"
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# Encode the input text
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encodeds = tokenizer(formatted_input, return_tensors="pt", add_special_tokens=False)
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def predict(self, user_input, system_prompt="You are an expert medical analyst:"):
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# Combine the user's input with the system prompt
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formatted_input = f"Question: {system_prompt} {user_input} Mini:"
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# Encode the formatted input using the tokenizer
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user_input_ids = tokenizer.encode(formatted_input, return_tensors="pt")
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bot = ChatBot()
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title = "๐๐ปWelcome to Tonic's GaiaMiniMed Chat๐"
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description = "You can use this Space to test out the current model [(Tonic/GaiaMiniMed)](https://huggingface.co/Tonic/GaiaMiniMed) or duplicate this Space and use it locally or on ๐คHuggingFace. [Join me on Discord to build together](https://discord.gg/VqTxc76K3u)."
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examples = [["What is the proper treatment for buccal herpes?", "You are a medicine and public health expert, you will receive a question, answer the question, and provide a complete answer"]]
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iface = gr.Interface(
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fn=bot.predict,
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