Spaces:
Running
on
Zero
Running
on
Zero
Update app.py (#9)
Browse files- Update app.py (afcd00a2fcd5415d33f17a85a3338502ed718593)
Co-authored-by: Yanis Adel <[email protected]>
app.py
CHANGED
@@ -2,7 +2,6 @@
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import spaces
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import gradio as gr
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from transformers import pipeline
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import pandas as pd
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import os
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# --- Load Model ---
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@@ -23,30 +22,33 @@ class Log:
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# --- Main Function ---
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@spaces.GPU
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def run_chatnt(
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with open(log_file, "a") as log:
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log.write("Request started\n\n")
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if not custom_question or custom_question.strip() == "":
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return
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# Read DNA sequences
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dna_sequences = []
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if
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with open(log_file, "a") as log:
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for i, seq in enumerate(dna_sequences):
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@@ -55,32 +57,28 @@ def run_chatnt(input_file, custom_question):
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# Build prompt
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num_sequences = len(dna_sequences)
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num_placeholders = custom_question.count("<DNA>")
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if num_sequences == 1:
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# If there is one DNA sequence, add the <DNA> at the end if it was not specified
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if num_placeholders == 0:
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english_sequence = custom_question + " <DNA>"
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elif num_placeholders == 1:
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english_sequence = custom_question
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else:
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elif num_sequences > 1:
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# If there are multiple DNA sequences, the user must specify himself all
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# positions of DNA sequences
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if num_placeholders != num_sequences:
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f"You provided {num_sequences} DNA sequences but only {num_placeholders} <DNA> placeholders. Please specify one <DNA> for each sequence."
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)
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english_sequence = custom_question
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else:
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return
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with open(log_file, "a") as log:
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log.write(f"Initial user question : {custom_question}\n")
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log.write(f"Full english prompt : {english_sequence}\n")
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# Call model
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with open(log_file, "a") as log:
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log.write("Calling model")
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output = pipe(
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inputs={
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"english_sequence": english_sequence,
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@@ -89,8 +87,8 @@ def run_chatnt(input_file, custom_question):
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)
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with open(log_file, "a") as log:
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log.write(f"Output : {output}")
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return output
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# --- Gradio Interface ---
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@@ -105,28 +103,31 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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with gr.Column(scale=1):
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label="
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)
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custom_question = gr.Textbox(
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label="English Question
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placeholder="e.g., Does this sequence contain a donor splice site?"
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)
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submit_btn = gr.Button("Run Query", variant="primary")
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with gr.Row():
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output = gr.Textbox(label="
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submit_btn.click(
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run_chatnt,
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inputs=[
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outputs=output,
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)
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gr.Markdown("""
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**Note:** Your question **must** include the `<DNA>` token if needed for multiple sequences.
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""")
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with gr.Accordion("Logs", open=True):
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import spaces
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import gradio as gr
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from transformers import pipeline
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import os
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# --- Load Model ---
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# --- Main Function ---
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@spaces.GPU
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def run_chatnt(fasta_text, custom_question):
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with open(log_file, "a") as log:
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log.write("Request started\n\n")
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if not custom_question or custom_question.strip() == "":
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return "Please provide a question."
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# Read DNA sequences from pasted text
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dna_sequences = []
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if fasta_text:
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lines = fasta_text.splitlines()
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sequence = ""
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for line in lines:
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line = line.strip()
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if not line:
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continue
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if line.startswith(">"):
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if sequence:
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dna_sequences.append(sequence)
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sequence = ""
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else:
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sequence += line
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if sequence:
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dna_sequences.append(sequence)
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if not dna_sequences:
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return "No DNA sequences found in the input."
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with open(log_file, "a") as log:
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for i, seq in enumerate(dna_sequences):
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# Build prompt
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num_sequences = len(dna_sequences)
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num_placeholders = custom_question.count("<DNA>")
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if num_sequences == 1:
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if num_placeholders == 0:
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english_sequence = custom_question + " <DNA>"
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elif num_placeholders == 1:
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english_sequence = custom_question
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else:
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return "Too many <DNA> placeholders for a single DNA sequence."
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elif num_sequences > 1:
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if num_placeholders != num_sequences:
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return f"You provided {num_sequences} DNA sequences but only {num_placeholders} <DNA> placeholders. Please specify one <DNA> for each sequence."
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english_sequence = custom_question
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else:
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return "No DNA sequences detected."
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with open(log_file, "a") as log:
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log.write(f"Initial user question : {custom_question}\n")
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log.write(f"Full english prompt : {english_sequence}\n")
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with open(log_file, "a") as log:
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log.write("Calling model\n")
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output = pipe(
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inputs={
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"english_sequence": english_sequence,
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)
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with open(log_file, "a") as log:
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log.write(f"Output : {output}\n")
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return output
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# --- Gradio Interface ---
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with gr.Row():
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with gr.Column(scale=1):
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fasta_text = gr.Textbox(
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label="Paste your DNA sequences in FASTA format",
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placeholder=">seq1\nATGC...\n>seq2\nCGTA...",
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lines=8
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)
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custom_question = gr.Textbox(
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label="English Question",
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placeholder="e.g., Does this sequence contain a donor splice site? <DNA>"
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)
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submit_btn = gr.Button("Run Query", variant="primary")
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with gr.Row():
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output = gr.Textbox(label="Answer", lines=6)
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submit_btn.click(
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run_chatnt,
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inputs=[fasta_text, custom_question],
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outputs=output,
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)
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gr.Markdown("""
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**Note:** Your question **must** include the `<DNA>` token if needed for multiple sequences.
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Example if your FASTA text contains two sequences :
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"Does the sequence <DNA> contain a donor splice site? And the sequence <DNA> ?"
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""")
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with gr.Accordion("Logs", open=True):
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