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Update app.py
Browse filesfrom facebook_scraper import get_posts
for post in get_posts('nintendo', pages=1):
print(post['text'][:50])
app.py
CHANGED
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@@ -1,63 +1,3 @@
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from
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client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
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def format_prompt(message, history):
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prompt = "<s>"
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for user_prompt, bot_response in history:
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prompt += f"[INST] {user_prompt} [/INST]"
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prompt += f" {bot_response}</s> "
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prompt += f"[INST] {message} [/INST]"
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return prompt
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def generate(
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prompt, history, temperature=0.5, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0,
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):
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temperature = float(temperature)
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if temperature < 1e-2:
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temperature = 1e-2
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top_p = float(top_p)
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generate_kwargs = dict(
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temperature=temperature,
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max_new_tokens=max_new_tokens,
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top_p=top_p,
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repetition_penalty=repetition_penalty,
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do_sample=True,
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seed=42,
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)
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formatted_prompt = format_prompt(prompt, history)
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
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output = ""
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for response in stream:
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output += response.token.text
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yield output
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return output
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additional_inputs=[
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gr.Slider(
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label="Temperature",
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value=0.9,
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minimum=0.0,
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maximum=1.0,
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step=0.05,
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interactive=True,
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info="Higher values generate more diverse outputs",
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)
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]
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bbchatbot = gr.Chatbot(
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avatar_images=["./user.png", "./bot.png"], bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)
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demo = gr.ChatInterface(fn=generate,
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chatbot=bbchatbot,
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title="🫐TheBlueberry-AI's Chat with Mistral 7B v0.2🪄",
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additional_inputs=additional_inputs
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)
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demo.queue().launch()
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from facebook_scraper import get_posts
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for post in get_posts('nintendo', pages=1):
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print(post['text'][:50])
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