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8a998f1
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Parent(s):
31a1f3b
Update app.py
Browse files
app.py
CHANGED
@@ -34,14 +34,14 @@ def main():
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st.sidebar.header("Input Parameters")
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role = st.sidebar.text_input("Who is this intednded for ?", "
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topic = st.sidebar.text_input("On what Topic should the blog be on ?", "
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word_count = st.sidebar.slider("Number of Words", min_value=50, max_value=1000, value=200, step=50)
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if st.sidebar.button("Generate Blog"):
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model_id = "mistralai/Mistral-7B-Instruct-v0.1"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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pipe = pipeline("text-generation", model=model, tokenizer=tokenizer,max_new_tokens=1000)
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hf = HuggingFacePipeline(pipeline=pipe)
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chain = LLMChain(llm=hf,prompt=prompt,verbose=True)
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)
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st.sidebar.header("Input Parameters")
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role = st.sidebar.text_input("Who is this intednded for ?", "Data Scientist")
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topic = st.sidebar.text_input("On what Topic should the blog be on ?", "Machine Learning")
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word_count = st.sidebar.slider("Number of Words", min_value=50, max_value=1000, value=200, step=50)
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if st.sidebar.button("Generate Blog"):
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model_id = "mistralai/Mistral-7B-Instruct-v0.1"
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tokenizer = AutoTokenizer.from_pretrained(model_id,auth_token =HF_TOKEN )
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model = AutoModelForCausalLM.from_pretrained(model_id,auth_token =HF_TOKEN )
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pipe = pipeline("text-generation", model=model, tokenizer=tokenizer,max_new_tokens=1000)
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hf = HuggingFacePipeline(pipeline=pipe)
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chain = LLMChain(llm=hf,prompt=prompt,verbose=True)
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